most citedA General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.LG2016★ 6 cited

A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy

Nurjahan Begum, Liudmila Ulanova, Hoang Anh Dau +2

Time Series Clustering is an important subroutine in many higher-level data mining analyses, including data editing for classifiers, summarization, and outlier detection. It is wel…